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vijayeshmt

SAP Digital Manufacturing (DMC) MCP Server

by vijayeshmt

get_production_orders

Retrieve production orders from SAP DMC with filters for plant, status, material, and date range. Sort by update time and limit results to find recent or specific orders.

Instructions

Get production orders from SAP DMC. Supports filtering, sorting by date, and limiting results (e.g., to find the most recent orders or a specific time range).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topNoLimit the number of returned records (useful for getting the most recent N orders)
plantNoPlant code. Allowed values: "VIJ_01", "M205". Defaults to "VIJ_01".
statusNoFilter by order status
orderByNoField to sort by, e.g. "LAST_UPDATED_AT desc" to get the most recent orders first
materialNoFilter by material number
updatedSinceNoFilter for orders updated since this timestamp (ISO 8601, e.g. 2026-05-20T00:00:00Z)
updatedBeforeNoFilter for orders updated before this timestamp (ISO 8601, e.g. 2026-05-22T23:59:59Z)
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description bears full responsibility. It describes a read operation ('Get') with filtering capabilities, which implies safety. However, it does not disclose return format, pagination, or any potential side effects.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, front-loaded sentence with a parenthetical example. Every word is purposeful, with no redundancy or filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Despite having 7 parameters and no output schema, the description does not explain what a production order is, what data is returned, or any relevant constraints (e.g., plant default). It leaves the agent without sufficient context for effective usage.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, with each parameter already described in the input schema. The description adds a usage example ('most recent orders') but does not significantly augment the parameter meanings beyond what the schema provides.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Get production orders from SAP DMC' with specific verb and resource. It differentiates the tool's purpose from siblings by specifying the source system, but does not explicitly contrast with sibling tools like query_dmc_orders.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit guidance on when to use this tool versus alternatives. The description mentions filtering, sorting, and limiting capabilities but lacks context for when-not-to-use or references to sibling tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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